Fundamentals of Reliability

Learn how to analyze and model reliability data using ReliaSoft Weibull++ and BlockSim

Course overview - 4 days

Fundamentals of Reliability provides a solid foundation of the methods, analyses, applications and associated tools in reliability engineering mathematics -- from basic data analysis and modeling to advanced methods and concepts. This course will introduce and familiarize attendees with basic statistical concepts such as reliability estimation, data set comparison and basic reliability modeling techniques.

Software used

This course provides an understanding of how reliability engineering analysis methodologies can be applied using ReliaSoft Weibull++ / ALTA and ReliaSoft BlockSim as well as other tools with practical hands-on exercises and case study examples.

Learning objectives

  • Become familiar with reliability engineering definitions and principles
  • Develop an understanding of the statistics behind reliability engineering models, including parameter estimation and confidence intervals
  • Understand when and how to use common life distributions, including Weibull, lognormal, normal and exponential
  • Introduce different types of life data analyses, such as Accelerated Life Testing (ALT), Demonstration Testing and System Reliability Analysis
Reliability Engineering Data Analysis and Modeling for Product Development
SMRP Approved Provider

Topics included

  • Reliability statistical concepts
  • Reliability data types
  • Reliability metrics
  • Weibull and life distribution analysis
  • Degradation analysis
  • Warranty analysis
  • Reliability data comparisons
  • Reliability test planning and analysis
  • Stress-strength analysis
  • Introduction to quantitative accelerated life test analysis
  • System reliability analysis with Reliability Block Diagrams (RBDs)

Who should attend

The Fundamentals of Reliability course is for engineers and technicians who need to understand the concepts of reliability engineering and need to develop their skills in reliability life data analysis for product and equipment failures, usage and test results.